Grace Therapeutics (GRCE) Total Liabilities (2017 - 2026)
Grace Therapeutics' Total Liabilities came in at $1.86 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 70.2% from $6.26 million a year earlier and down 32.5% from the prior quarter.
Grace Therapeutics (GRCE) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Grace Therapeutics' Total Liabilities was $2.76 million, down 48.8% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of -16.5% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $5.38 million in FY2025 (-53.4%), $11.56 million in FY2024 (+3.5%), $11.17 million in FY2023 (-45.1%) and $20.35 million in FY2022 (+199.4%).
- The fiscal Q1 2027 figure represents the lowest quarterly Total Liabilities in data going back to fiscal Q4 2017.
- Year-over-year, Total Liabilities has declined for eight consecutive quarters, with an average decline of 46.5% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q3 2023 (growth of 534.5%), and the weakest in fiscal Q1 2027 (a decline of 70.2%).
- Business Quant data shows GRCE's Total Liabilities at $2.76 million (Q4 2026), $3.6 million (Q3 2026) and $3.76 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Grace Therapeutics | 34.02 Mn | -32.25 Mn | - | 1.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.86 Mn |
| Mar 31, 2026 | 2.76 Mn |
| Dec 31, 2025 | 3.60 Mn |
| Sep 30, 2025 | 3.76 Mn |
| Jun 30, 2025 | 6.26 Mn |
| Mar 31, 2025 | 5.38 Mn |
| Dec 31, 2024 | 9.09 Mn |
| Sep 30, 2024 | 9.22 Mn |
| Jun 30, 2024 | 10.35 Mn |
| Mar 31, 2024 | 11.56 Mn |
| Dec 31, 2023 | 11.51 Mn |
| Sep 30, 2023 | 11.47 Mn |
| Jun 30, 2023 | 9.02 Mn |
| Mar 31, 2023 | 11.17 Mn |
| Dec 31, 2022 | 20.08 Mn |
| Sep 30, 2022 | 20.75 Mn |
| Jun 30, 2022 | 20.53 Mn |
| Mar 31, 2022 | 20.35 Mn |
| Dec 31, 2021 | 3.17 Mn |
| Sep 30, 2021 | 5.59 Mn |
Grace Therapeutics Total Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-liabilities&ticker=GRCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GRCE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=GRCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();